A novel two-input asymmetric dynamic cross-coupled hysteresis modeling and identification for piezoelectric stack actuators

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1485-1493
Author(s):  
Yangyang Dong ◽  
Kungang Zuo ◽  
Shaojie Han ◽  
Zijian Zhang
Keyword(s):  
High Precision ◽  
Fast Response ◽  
Positioning System ◽  
Engineering Applications ◽  
Hysteresis Curves ◽  
Dynamic Excitation ◽  
Nonlinear Hysteresis ◽  
Proposed Model ◽  
Hysteresis Modeling ◽  
External Loads

Piezoelectric Stack Actuators (PEAs) have been widely used in high-precision positioning system because of its fast response. However, under different excitation voltages and external loads with dynamic frequencies, the width and inclination of PEAs hysteresis curves verified correspondingly, and exhibit asymmetry phenomenon. The main contribution of this paper is to present a two-input asymmetric dynamic cross-coupled hysteresis (TADCH) model to describe the complex nonlinear hysteresis of PEAs in dynamic excitation and loading engineering applications. Moreover, we also develop the corresponding identification method of TADCH model. Finally, several experiments are carried out to verify the accuracy of the proposed model.

A new hysteresis model for magneto–rheological dampers based on Magic Formula

2020 ◽  
pp. 095440622095488
Author(s):  
Quoc–Duy Bui ◽  
Quoc Hung Nguyen ◽  
Xian–Xu ‘Frank’ Bai ◽  
Duc–Dai Mai
Keyword(s):  
Excitation Frequency ◽  
Model Parameters ◽  
Magic Formula ◽  
Hysteresis Behavior ◽  
Hysteresis Curves ◽  
Mr Dampers ◽  
Nonlinear Hysteresis ◽  
Proposed Model ◽  
Wide Range ◽  
Magneto Rheological

This paper investigates a novel model based on the Magic Formula and the Pan’s model to effectively predict the inherent nonlinear hysteresis behavior of magneto–rheological (MR) dampers. In the proposed model, the hysteresis element is employed from the Magic Formula and Pan’s model, and two new independent horizontal shift parameters, which are separated from one original parameter of the Pan’s model, are added. Each of them characterizes an offset with respect to the origin for each branch of hysteresis curves, providing more flexibility and effectiveness for simulating curves with high asymmetry. In addition, a parameter to further control the sharpness of hysteresis curves in the backward region of damping force–velocity is proposed, which is useful to simulate the behavior of MR dampers in rather extreme operating cases. A case study is performed on a prototype MR damper for washing machines, in which the model incorporates applied current and excitation frequency as variables to make it more adaptable to a wide range of working conditions. For comparison, performance of three hysteresis models, including the Spencer’s model, the Pan’s model and the proposed model, are analyzed and evaluated. The research results show that, as compared with the others, the proposed model can not only predict the nonlinear hysteresis behavior of MR dampers more precisely, but is also more compatible with different operating excitations, and the clearer meanings of the model parameters make them easier to study and identify.

scholarly journals High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3701
Author(s):  
Ju-Hyeon Seong ◽  
Soo-Hwan Lee ◽  
Won-Yeol Kim ◽  
Dong-Hoan Seo
Keyword(s):  
High Precision ◽  
Distance Estimation ◽  
Sampling Period ◽  
Multipath Fading ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Systems ◽  
Positioning Errors ◽  
Location Determination ◽  
Indoor Positioning System

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.

Extended Mobility Carried Out with a Double Hexapod Robot

2010 ◽  
Vol 166-167 ◽  
pp. 271-276 ◽  
Author(s):  
Mihai Margaritescu ◽  
Ana Maria Eulampia Ivan ◽  
Vlad Vaduva ◽  
Cornel Brisan
Keyword(s):  
Fast Response ◽  
High Accuracy ◽  
Positioning System ◽  
Hexapod Robot ◽  
Parallel Kinematics ◽  
High Stiffness ◽  
Serial Robots ◽  
Visual Comparison ◽  
Operating Space

The double hexapod robot consists in two staged hexapod platforms – Stewart Gough platforms - combining in a certain measure the advantages of the robots with parallel kinematics and of the serial robots: high accuracy, high stiffness, fast response and small dimensions, having an extended operating space. Different modelling and construction aspects were described in few previous articles. Some examples of trajectories generated with this positioning system are now presented to illustrate its mobility, as well as the workspaces for one and two hexapods in order to make possible a visual comparison between the two volumes.

scholarly journals IBPS: iBeacons Based Improved Indoor Positioning System

2020 ◽  
Vol 8 (5) ◽  
pp. 3792-3797
Keyword(s):  
Research Work ◽  
Energy Resource ◽  
Smart Phone ◽  
Indoor Positioning ◽  
Small Scale ◽  
Positioning System ◽  
Human Organ ◽  
Proposed Model ◽  
Small Hand ◽  
Indoor Positioning System

Smartphone plays a key role in integrating the entire world into a small hand. This feature made these smartphones as another human organ of many people. One of the main feature in every smart phone is GPS which used to travel new places, to locate and find optimized way to reach their destination. As we aware GPS is an outdoor application, GPS location is not accurate in indoor and small scale areas. This leads to an advanced research to improve the accuracy in GPS positing for the benefit of indoor applications. This research proposes a new iBeacons based Improved Indoor Positioning System for indoor positing application using Bluetooth low energy (BLE) beacons. This model helps the mobile application to find the exact location at micro-level scale. The objective of this research work is to design a potable indoor positing system (IPS) for indoor applications with at least 100m accuracy with in the inbuilt energy resource limitations. The proposed model has been built and verified in all the aspects. The location accuracy and energy efficiency of the proposed model is compared and found better than the existing models

Research on the Positioning Technology and Attitude Solution Based on STM32

2014 ◽  
Vol 898 ◽  
pp. 910-913
Author(s):  
Hui Can Lin ◽  
Tao Guo ◽  
Yu Shi ◽  
Yang Liu ◽  
Zi Jing Zhong
Keyword(s):  
High Precision ◽  
Linear Prediction ◽  
Fast Response ◽  
Correction Method ◽  
Mems Devices ◽  
Electromagnetic Environment ◽  
Information Monitoring ◽  
Kalman Filter Algorithm ◽  
Suppress Noise ◽  
Attitude Sensor

Aircraft control, the training process to locate the aircraft attitude and heading information monitoring requires high-precision gesture as a feedback input, application STM32F103T8 processor design a combination of positioning technology and attitude sensor acquisition system. Measurement module with low power consumption, fast response and high accuracy, the use of high precision MEMS devices with 32-bit processors STM32F103T8 good data processing capabilities. For sensor characteristics, extended Kalman filter algorithm is designed based on dual quaternion vector correction method, enhanced anti-jamming capability; characteristics of complex electromagnetic environment, an improved forward linear prediction filtering method, processing the received GPS data, improving positioning accuracy. The results show that the proposed method effectively suppress noise, gesture detection, accurate and fast.

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